Network analysis of depression and anxiety among medical staff
Objective The purpose of this study was to explore the network structure of comorbid depression and anxiety symptoms among medical staff in Jining city.Methods A total of 450 medical staff were recruited as participants in Jining from September 13,2022 to September 19,2022.Patient Health Questionnaire(PHQ-9)and Generalized Anxiety Disorder Scale(GAD-7)were used to measure depressive and anxiety symptoms,respectively.Regularized partial correlation network analysis was performed on symptoms,focusing on the expected impact and predictability of items in the network.The R software was used for statistical analysis and visualization of the network.Results The prevalence of comorbid depression(PHQ-9≥5)and anxiety(GAD-7≥5)was 26.9%.GAD.4(Difficulty in rela-xing)and GAD.2(Uncontrollable worry)are central symptoms of the entire depression-anxiety network.GAD.5(akathisia)and PHQ.8(Retardation of thinking)are the most critical bridge symptoms linking depression and anxiety.Gender was not associated with global network strength,edge weight distribution,or individual edge weights.Conclusion The results of this study suggest that akathisia and mental retardation are the core symptoms of comorbid depression and anxiety symptoms among medical staff.Targeting these two symptoms as the main intervention targets may help to prevent and treat the comorbidity of depression and anxiety among medical staff.
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